NVIDIA has never listed GA102 as offering ECC on its internal pathways – this is traditionally limited to their big, datacenter-class chips – so this is almost certainly partial support via “soft” ECC, which offers error correction against the DRAM and DRAM bus by setting aside some DRAM capacity and bandwidth to function as ECC. Like the current-generation Quadro, the upcoming card also gets ECC support. Along with the expanded number of data types supported in the tensor cores (particularly BFloat16), the other changes most likely to be noticed by professional visualization users is decode support for the new AV1 codec, as well as PCI-Express 4.0 support, which will give the cards twice the bus bandwidth when used with AMD’s recent platforms. So while newer and significantly more powerful, there are not many new marquee features to be found on the card. Otherwise, as we saw with the GeForce cards launched last month, Ampere itself is not a major technological overhaul to the previous Turing architecture. Notably, the A6000 only has a TDP of 300W, 50W lower than the GeForce RTX 3090, so I would expect this card to be clocked lower than the 3090. Unfortunately NVIDIA has either yet to lock down the specifications for the card or is opting against announcing them at this time, so we don’t know what the clockspeeds and resulting performance in FLOPS will be. In terms of performance, NVIDIA is promoting the A6000 as offering nearly twice the performance (or more) of the Quadro RTX 8000 in certain situations, particularly tasks taking advantage of the significant increase in FP32 CUDA cores or the similar performance increase in RT core throughput. As a result, despite being based on the same GPU, there are going to be some interesting performance differences between the A6000 and its GeForce siblings, as it has traded memory bandwidth for overall memory capacity. Notably, the A6000 is using GDDR6 here and not the faster GDDR6X used in the GeForce cards, as 16Gb density RAM chips are not available for the latter memory at this time. The card uses a fully-enabled GA102 GPU – the same chip used in the GeForce RTX 3080 & 3090 – and with 48GB of memory, is packed with as much memory as NVIDIA can put on a single GA102 card today. The first professional visualization card to be launched based on NVIDIA’s new Ampere architecture, the A6000 will have NVIDIA hitting the market with its best foot forward. The A6000 will be a Quadro card in everything but name literally. The successor to the Turing-based Quadro RTX 8000/6000, the A6000 will be NVIDIA’s flagship professional graphics card, offering everything under the sun as far as NVIDIA’s graphics features go, and chart-topping performance to back it up. Being announced today and set to ship at the end of the year is the NVIDIA RTX A6000, NVIDIA’s next-generation, Ampere-based professional visualization card. Starting things off, we have a pair of new video cards from NVIDIA – and a launch that seemingly indicates that NVIDIA is getting ready to overhaul its professional visualization branding. As the de facto replacement for GTC Europe, this fall virtual GTC is a bit of a lower-key event relative to the Spring edition, but it’s still one that is seeing some NVIDIA hardware introduced to the world. ![]() ![]() Tackle the most graphics, compute, and GPU memory intensive mixed workloads, such as batch rendering, data science, simulation, and scientific visualization, or provision powerful virtual workstations with Quadro Virtual Data Center Workstation (Quadro vDWS) software, all powered by NVIDIA RTX.NVIDIA’s second GTC of 2020 is taking place this week, and as has quickly become a tradition, one of CEO Jensen Huang’s “kitchenside chats” kicks off the event. It features a passive thermal solution to fit into a variety of servers. The RTX 8000 is optimized for reliability in enterprise data centers and built for 24/7 server environments. ![]() Support for NVIDIA® NVLink™ lets you scale performance, providing up to 96 GB of combined GPU memory for the largest workloads. Professionals can even serve multiple powerful virtual workstations with NVIDIA Quadro Virtual Data Center Workstations (Quadro vDWS) software. Equipped with 4,608 CUDA® cores, 576 Tensor Cores, 72 RT Cores, and 48 gigabytes (GB) of high-performance graphics memory, the NVIDIA Quadro RTX 8000 delivers the best performance and the largest graphics memory for the most demanding visual computing tasks.Accelerate multiple data center workloads including rendering, data science, virtual workstation, simulation, and augmented or virtual reality over 5G networks. Bring the power of RTX to the data center with the NVIDIA Quadro RTX™ 8000, built on the NVIDIA Turing™ architecture and the NVIDIA RTX™ platform for powerful server-based visual computing solutions.
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